Starting in January 2016 and funded for three years by the German Research Foundation (DFG), project CONQUAIRE – Continuous Quality Control for Research Data to Ensure Reproducibility will focus on reproducibility and quality control during the research process in an institutional setting.
CyVerse is funded by the National Science Foundation’s Directorate for Biological Sciences. We are a dynamic virtual organization led by the University of Arizona to fulfill a broad mission that spans our partner institutions: Texas Advanced Computing Center, Cold Spring Harbor Laboratory, and the University of North Carolina at Wilmington. CyVerse provides life scientists with powerful computational infrastructure to handle huge datasets and complex analyses, thus enabling data-driven discovery. Our extensible platforms provide data storage, bioinformatics tools, image analyses, cloud services, APIs, and more.
The full-featured DKRZ long term archiving service LTA WDCC (World Data Centre for Climate) offers long term archiving for datasets relevant for climate and Earth System research.
C. Staiger, M. Jetten, J. Böhmer, I. Slouwerhof, M. van der Geest, C. van Gelder, and S. Scholtens. Picture, (June 2019)This figure is part of a project funded by the ZonMw Personalised Medicine Programme under Dossier number: 80-84600-98-3007. The project period is Aug 2018 - July 2019. Additional funding will be provided by UMCG, UMCU, Radboud University Nijmegen, Radboudumc and DTL/ELIXIR-Netherlands..
A. Kesper, V. Wenz, and G. Taentzer. (2020)cite arxiv:2007.11298Comment: 28 pages. This paper is an extended version of a paper to be published in ÄCM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS '20)". Added subtitle.
K. Wilms, S. Stieglitz, A. Buchholz, R. Vogl, and D. Rudolph. Proceedings of the 51st Hawaii International Conference on System Sciences, Hawaii International Conference on System Sciences, (2018)
A. Seeland. Software, (2020)Related to: Selent, B., Kraus, H., Hansen, N., Schembera, B., Seeland, A. & Iglezakis, D. (forthcoming). Management of Research Data in Computational Fluid Dynamics and Thermodynamics. In: Proceedings der E-Science-Tage 2019.